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The Visibility Advantage Podcast

The Visibility Advantage Podcast

By: Lynnaire Johnston
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The Visibility Advantage Podcast is the show for senior leaders and business owners who want to build strategic visibility in a world being reshaped by AI — without becoming someone they’re not. Hosted by a LinkedIn strategist with deep expertise, each episode gives leaders the frameworks, stories, and honest advice to own their presence and protect their professional future.

© 2026 The Visibility Advantage Podcast
Economics Marketing Marketing & Sales
Episodes
  • Is AI Recommending You or Your Business?
    Oct 5 2026
    Being found by AI does not necessarily mean being recommended when a prospective client asks who they could work with.For that recommendation to be useful, the answer needs to connect your expertise with the person’s particular challenge – and give them a credible reason to consider you.Following our exploration of professional authority in episode 10, this conversation examines how that authority can translate into visibility in AI answers, including the role of your website, published content and evidence beyond your own claims.In this episodeLynnaire speaks with Tony Restell, founder of Social Hire (social-hire.com), about the company’s recently launched AI search optimisation service and what his team has learned from applying its approach to their own business and early clients.Tony describes the shift he has observed from search results that present links towards AI answers that recommend providers and explain those recommendations. He outlines three areas of work: making website information easier to interpret, building external evidence of credibility and publishing answers to questions prospective clients ask.The conversation explores why a clear specialism can give a business a more focused opportunity to appear in relevant answers, and why someone researching a challenge may encounter your expertise well before they are ready to contact a provider.Lynnaire and Tony also discuss the role of personal LinkedIn® articles and newsletters, attribution of original ideas, and the challenges of measuring visibility across tools that can produce different answers for different users.Five key takeawaysBeing discoverable means information about you can be found; being recommended means your expertise is presented as relevant to someone’s needs, ideally with reasons for considering you.Clear positioning around particular audiences and challenges gives prospective clients – and the systems they use – a more specific picture of where your expertise fits.Your own website is only part of the evidence available about you. Relevant reviews, independent mentions and other credible external sources can support what you say about your expertise.Content that answers prospective clients’ practical questions can introduce your expertise before they begin actively looking for a provider.AI visibility needs to be assessed across relevant questions, tools and occasions. One favourable answer does not establish a consistent recommendation or demonstrate a business outcome.Episode chapters1:00 – From visibility and authority to AI recommendations2:43 – The shift in buyer research and search behaviour8:38 – Schema markup and making website information understandable15:00 – Social Hire’s experience and early client examples22:03 – Early adoption, citations and attribution27:00 – External credibility and questions that show buyer intent33:36 – The role of LinkedIn articles and newsletters36:57 – Testing visibility across AI tools45:43 – Who can benefit and how to contact Tony48:03 – What businesses misunderstand about AI discoverabilityExamining your own AI discoverabilityBegin by identifying a specific situation in which you would want a prospective client to find you. What challenge are they facing, and what expertise would make you a suitable person or business to consider?Then examine three areas:Understood – Does your website clearly explain who you work with, what you do and the challenges you address? Ask your website provider what structured data is already in place and whether it accurately represents your visible content.Supported – What credible evidence beyond your own descriptions supports your expertise? Look at relevant reviews, recommendations, interviews, published work and independent mentions.Useful – Does your public content answer the questions people ask before they decide to engage someone? Review existing articles and resources before assuming you need to create more.Finally, test a small set of relevant questions across several AI tools and record the results over time. Distinguish between a mention, a citation linking to your content and a recommendation explaining why someone might choose you.Schema markup is one element to investigate, rather than a guarantee of recommendations. Google states that no special schema is required for its AI Overviews or AI Mode, and that established SEO fundamentals remain relevant. Structured data should reflect information visitors can also read on the page.About Tony RestellTony Restell is the founder of Social Hire, which has worked with B2B businesses on social media marketing and social selling since 2012. The company has recently expanded its services into AI search optimisation.Connect with Tony:https://www.linkedin.com/in/tonyrestell/Social Hire’s AI search optimisation service:https://social-hire.com/ai-search-optimization-geo-servicesResources mentioned and further readingFrom Benchmarks to Blueprints:...
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    52 mins
  • LinkedIn Attention: What Makes Content Worth Stopping For?
    Sep 7 2026

    There is more content competing for our attention on LinkedIn® than ever, and no shortage of advice about how to “stop the scroll”.

    But can anyone really know what will make another individual stop?

    LinkedIn itself increasingly treats relevance as highly individual, using hundreds of signals and sophisticated AI systems to determine what each member may want to see. Perhaps, then, the more useful question isn’t simply how to capture attention, but what we give people in return when we get it.


    In this episode

    Lynnaire questions one of the most persistent assumptions in LinkedIn content strategy: that there is a reliable formula for stopping people as they scroll through the Feed.

    She shares what happened when she deliberately observed her own behaviour on LinkedIn for several days – what made her stop, what she ignored and how inconsistent even one person’s attention turned out to be.

    She also explores the difference between attracting attention and building professional visibility; why competent content is becoming less distinctive as content production becomes easier; and why expertise, experience, evidence, judgement and interpretation may matter increasingly in an abundant content environment.

    Finally, she looks beyond the individual post to what happens when good content creates curiosity. If somebody decides to investigate the person behind the post, the rest of their LinkedIn presence needs to substantiate the impression that content has created.


    Five key takeaways

    • Treat “scroll-stopping” techniques as ways of increasing the possibility of attention rather than guarantees of it. Relevance, relationships, interests, timing and the reader’s own circumstances all influence what gets noticed.
    • Don’t confuse competent content with distinctive contribution. As polished content becomes easier to produce, what you know, have experienced, observed and can meaningfully interpret becomes more important.
    • Remember that attention and professional visibility are not the same thing. A post can attract enormous numbers of views without necessarily building recognition, authority or association with your expertise.
    • Make sure the professional presence behind your content substantiates the impression your content creates. If somebody becomes curious about you, your LinkedIn profile needs to provide evidence of who you are, what you know and why your perspective carries weight.
    • Instead of asking only “How do I stop the scroll?”, ask why this content matters, why you are the person to create it and what somebody receives in return for giving it their attention.


    Episode chapters

    1:30 – Are we asking the wrong question about attention
    2:35 – There is more content competing for our attention
    4:20 – What actually makes me stop
    7:28 – My attention isn’t consistent. Why would yours be
    8:02 – LinkedIn is trying to solve the same problem
    10:15 – Attention isn’t necessarily valuable
    14:29 – Content is abundant. Contribution isn’t
    16:26 – What happens when somebody wants to know more
    16:51 – I’m not going to give you the answer


    The Link∙Ability Blueprint

    The Link∙Ability Blueprint is the strategic framework underpinning Lynnaire’s approach to professional visibility, bringing together Discovery, Perception, Connection and Momentum to build visibility, credibility and opportunity.

    linkability.biz/services/the-linkability-blueprint


    About Lynnaire Johnston

    Lynnaire Johnston is a LinkedIn® + AI Visibility Specialist, author of Link•Ability, four powerful strategies to maximise your LinkedIn success and the co-author of Business Gold, Build Awareness, Authority and Advantage with LinkedIn Company pages.

    She works with business owners and senior professionals to build purposeful visibility, credible authority and stronger discoverability in the AI era.


    Explore more from Link•Ability

    Find podcast episodes, practical LinkedIn® and AI guidance, videos, articles, books and Link•Ability guides – all in one place: linkability.biz/about-us/resources


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    20 mins
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